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NVeiler - Video Filter

 

---nveilervideofilter01

The NVeiler Video Filter is a plug-in for VirtualDub video processing software. The plug-in automatically detects faces in a frame and hides them by using pixelation effect. Also is capable to track the moving faces in subsequent frames and hide them, as well as detect new faces without user intervention.

Users can choose to hide selected faces or parts of the faces, as well as the plug-in for hiding other objects (i.e car license plates, logos, etc.)

 

 

 

 

 

 

 

 

 

 

 

  • Description
  • Advantages
  • Features
  • System Requirements

 

 

The NVeiler Video Filter is a plug-in for VirtualDub video processing software. The plug-in automatically detects faces in a frame and hides them by using pixelation effect. Also is capable to track the moving faces in subsequent frames and hide them, as well as detect new faces without user intervention.   

 

                                             nveiler-video-filter-face-detection                                              nveiler-video-filter-pixelation

 

 

 

Suitable for

 

  • Banks
  • State
  • Business
  • Stores
  • Hotels

 


 

Advantages of NVeiler Video Filter:

  • Automatic face detection algorithm with configurable parameters.
  • Manual selection to obscure only required faces or their regions.
  • Can be also used for hiring other non-face items in videos.
  • Automatic tracking helps to hide the moving faces or objects in subsequent frames.

 

 


Features

  • Automatic face detection: The plug-in's internal engine is able to detect faces in a frame. All detected faces will be pixelated. Users can configure face detection parameters or disable it.
  • Manual face selection: Users can select faces by hand if the automatic face detection is disabled. The selected faces will be hidden whereas non-selected faces will remain visible.
  • Face part or non-face objects hiding: The plug-in allows to select and hide a part of face by choosing a corresponding rectangular region in a frame. Also this method allows to choose non-face objects to be hidden (i.e. car license plates, logos, e.t.c.)
  • Automatic tracking: Users do not have to deal with all selected frames as each detected face or selected object will be tracked and obscured in all subsequent frames automatically until it will disappear.

 

          nveiler-video-filter-face-detection         nveiler-video-filter-pixelation         nveiler-video-filter-add-dialog         nveiler-video-filter-list-dialog

 

 

Technical Details

  • Configurable automatic face detection: Users can adjust three parameters to improve face detection quality: face confidence threshold, smallest distance between eyes and largest face roll angle. See the plug-in's documentation for more information on these parameters and their values.
  • Supported video resolution: There are no general limitations on video size or aspect ratio. However we recommend to provide video files with at least 640 x 480 pixels (or at least 0.3 MegaPixels for other aspect ratios) resolution for confident face detection and subsequent tracking.
  • Frame processing performance: An HD video (1280 x 720 pixels) file with several faces in a frame and 15 degrees face roll tolerance is processed at a speed of about 12 frames per second on a PC with Intel Core 2 processor running at 2.66 GHz. The performance is mostly dependent on a frame size and the chosen face detection parameters. The number of faces in a frame has no significant influence on the performance. 
  • Technology background: The plug-in is based on VeriLook biometric face recognition technology and SentiSight object recognition and tracking technology. The VeriLook-based biometric products have more than a million deployments worldwide including access control, identity verification and other security-related applications. The SentiSight is intended for computer vision applications that are able to find the required objects in videos or still images. 

 

The following system requirements are provided for comfortable processing of videos files with about 1280 x 720 pixels native resolution:

  • A 2.66 GHz x86 32- or 64-bit processor (or better) is recommended for comfortable HD video processing with multiple faces in a frame. Less powerful processors will also do the job, but at the cost of time.
  • Microsoft Window XP/Vista/7
  • Εκδοχή VirtualDub 1.9.11(stable), 32-bit(x86) version or newer stable version. 

Videos with bigger resolution or dozens of faces in a frame will be still successfuly processed on the same hardware, but will require more time.